A metric taxonomy for supervisory control of unmanned vehicles
Unmanned vehicle systems (UVSs), whether in the air, on the ground, on or under water, are inherently complex systems that rely on remote operator supervision to accomplish often dangerous and time-critical missions. Measuring the performance of a UVS is not a trivial task since the performance of the actual vehicle does not necessarily imply a performance level of the operator and vice-versa. With the increasing presence of UVSs in both military and commercial settings, it is critical that key performance metrics be identified to indicate not only operator and vehicle performance, but integrated human-system performance as well. To this end, this paper will describe a supervisory control metric taxonomy that classifies the different types of metrics across a supervisory control UVS, how they relate, and how this taxonomy can be used to identify a robust set of metrics.
